Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Arabic
Size:
1K - 10K
Tags:
Sentiment Analysis
License:
configs: | |
- config_name: default | |
data_files: | |
- split: train | |
path: data/train-* | |
dataset_info: | |
features: | |
- name: Domain | |
dtype: string | |
- name: Text | |
dtype: string | |
- name: Polarity | |
dtype: string | |
splits: | |
- name: train | |
num_bytes: 3830370 | |
num_examples: 9141 | |
download_size: 1784683 | |
dataset_size: 3830370 | |
task_categories: | |
- text-classification | |
language: | |
- ar | |
tags: | |
- Sentiment Analysis | |
pretty_name: MSAC | |
size_categories: | |
- 1K<n<10K | |
license: unknown | |
# Dataset Card for "Multi-domain Arabic Sentiment Corpus (MASC)" | |
## Paper: | |
Al-Moslmi, T., Albared, M., Al-Shabi, A., Omar, N., & Abdullah, S. (2018). Arabic senti-lexicon: Constructing publicly available language resources for Arabic sentiment analysis. Journal of Information Science, 44(3), 345-362. https://doi.org/10.1177/0165551516683908 |